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VectorIndex

Source code in docs_src/capo_dynamodb/types/vector_index.py 
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class VectorIndex(TypedDict, closed=True):
    index_name: "capo_dynamodb.types.index_name.IndexName"
    """<p>The name of the vector index.</p>"""
    vector_attribute: (
        "capo_dynamodb.types.vector_attribute_definition.VectorAttributeDefinition"
    )
    """<p>The vector attribute configuration for the index.</p>"""
    search_schema: NotRequired["capo_dynamodb.types.search_schema.SearchSchema"]
    """<p>The search schema that defines partition key and inline filter attributes for the vector index.</p>"""
    projection: "capo_dynamodb.types.projection.Projection"
    """<p>Specifies attributes that are copied (projected) from the table into the vector index.</p>"""
    dimensions: "capo_dynamodb.types.positive_long_object.PositiveLongObject"
    """<p>The number of dimensions in each vector.</p>"""
    distance_function: (
        "capo_dynamodb.types.vector_distance_function.VectorDistanceFunction"
    )
    """<p>The distance function used to calculate similarity between vectors. Valid values: <code>COSINE</code>, <code>EUCLIDEAN</code>, <code>DOT_PRODUCT</code>.</p>"""

dimensions instance-attribute 

dimensions: PositiveLongObject

The number of dimensions in each vector.

distance_function instance-attribute 

distance_function: VectorDistanceFunction

The distance function used to calculate similarity between vectors. Valid values: COSINE, EUCLIDEAN, DOT_PRODUCT.

index_name instance-attribute 

index_name: IndexName

The name of the vector index.

projection instance-attribute 

projection: Projection

Specifies attributes that are copied (projected) from the table into the vector index.

search_schema instance-attribute 

search_schema: NotRequired[SearchSchema]

The search schema that defines partition key and inline filter attributes for the vector index.

vector_attribute instance-attribute 

vector_attribute: VectorAttributeDefinition

The vector attribute configuration for the index.